• DocumentCode
    647866
  • Title

    Energy management for a grid-tied photovoltaic-wind-storage system—Part II: Operation strategy

  • Author

    Hussein, Ala A. ; Batarseh, Issa

  • Author_Institution
    Dept. of Electr. Eng., United Arab Emirates Univ., Al Ain, United Arab Emirates
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Renewable energy has unique characteristics such as it is sustainable, clean and free. However, renewable generation systems have two major limitations: they are strongly dependent on the weather conditions; and they have unsynchronized generation peaks with the demand peaks, in general. In a series of two papers, an energy management strategy for a distributed photovoltaic (PV)-wind-storage system is proposed. This second paper proposes a strategy to control the operation of the energy storage to overcome the limitations of renewable sources and forecasting models uncertainty. The proposed operation strategy is advantageous in terms of it allows a highly efficient and profitable operation of the system especially in an electricity spot market. Simulation results that shows the effectiveness of the proposed control strategy are provided.
  • Keywords
    energy management systems; energy storage; photovoltaic power systems; power grids; renewable energy sources; wind power plants; demand peaks; distributed photovoltaic-wind-storage system; electricity spot market; energy management; energy storage; forecasting models uncertainty; grid-tied photovoltaic-wind-storage system; operation strategy; renewable energy; renewable generation systems; renewable sources; unsynchronized generation peaks; weather conditions; Batteries; Energy management; Forecasting; Load modeling; Predictive models; System-on-chip; Artificial neural networks (ANNs); distributed generation (DG); energy storage system (ESS); load forecasting model; photovoltaic (PV); solar radiation forecasting model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672414
  • Filename
    6672414